EM-610

The Application of Statistics

3 - 0 - 3

Description

Decision-making, planning and the presentation of information can be significantly enhanced by the intelligent use of mathematical methods or statistics. This course expands on a basic understanding of statistics used in business today with the focus being on application rather than the mathematics and theory of the methods. Statistical tools used to describe collections of data, estimate parameters, make comparisons, develop mathematical relationships or models, control processes, predict outcomes, and plan experiments are covered. Specific tools include frequency distributions, estimation, hypothesis testing, Chi-Square analysis, regression and correlation analysis, analysis of variance, control charts, process capability analysis, sampling and the design of experiments.

Prerequisites

• Graduate Standing
  

Materials

Required:

• Essentials of Modern Business Statistics, 3rd ed. David R. Anderson, Dennis J. Sweeny & Thomas A. Williams, ITP Southwestern, 2007

Course Learning Outcomes

Upon successful completion of this course, the student will:

• To understand what kinds of statistical tools are available, and where and how they can be applied in a business and industrial environment.
• To know what statistical tools require further independent study to satisfy the requirements of other courses in the MSEM program as well as personal and career needs.

Course Topics

• Introduction and graphical descriptive statistics
  Management, work environment, culture and its impact on the application of statistics
  Statistical thinking - problems must be addressed in the context of a larger system and not as an exercise in mathematics
  Basic concepts
  Descriptive statistics - graphical methods (1 class)
• Descriptive statistics - numerical methods
  Central value, Spread, and Correlation (1 class)
• Interval estimates and sampling
  Confidence intervals, Approaches to sampling, and Probability (1 class)
• Hypothesis testing, and making comparisons and inferences
  Comparing a condition to a standard, Comparing two conditions, Risks and sample sizes (1 class)
• Statistical quality control
  Variables control charts, Attributes control charts, Capability studies and indexes (1 class)
• Systematic collection and analysis of information for making decisions
  Making multiple comparisons using the analysis of variance - ANOVA, Design of experiments - DOE (2 classes)
• The analysis of enumerated or counted data
  Evaluating goodness of fit, and Checking for independence (1 class)
• Studying and defining relationships between variables
  Regression analysis and Correlation analysis (1 class)
• Nonparametric Methods and review
  Sign tests, Ranking tests, Rank correlation, and Review (1 class)
• Final Exam

Prerequisites by topic

• Experience in using or course(s) in basic statistical methods is strongly recommended. Experience using Excel and software for statistical analysis would be helpful.

Laboratory topics

• None

Course topics by day

Lecture/Lab topics

ACCE content

General Education	Math & Science	Business & Mgmt.	Construction	Construction Science
0	0	0	0	0

View Specific Requirements

ABET/EAC content

Engineering topics	Design	General education	Math/Science	Other
0	No	0	0	0

ABET/TAC content

Communications	Math & Science	HU/SS	Tech Content	Other
0	0	0	0	0

Coordinator

James Spindler

Last review

Bruce Thompson, Professor, Program Director, MSEM
on Apr 27, 2004

Last update

Bruce Thompson, Professor, Program Director, MSEM
on Apr 27, 2004